getML’s feature engineering algorithms are applied to a multivariate time series to predict room occupancy outperforming all other approaches.
Curious how automated feature engineering with getML works? This guide demonstrates getML's capabilities from a user perspective using a simple data set.
Use getML for automated data wrangling to tackle real-world data and get top-ranking results in just a couple of hours. A step-by-step guide.
Do successful AI projects have similarities in the stakeholders' mindset or ML Tools used? Our Co-founder, Alex, will share his experience from implementing cross-industry AI solutions.
Automated feature engineering for relational business data? Sound great, but you don't really know what relational data is? This post is for you!
GetML empowers a multinational car manufacturer to improve on customer retention strategies by providing accurate churn predictions.
Introducing the most efficient feature engineering solution for relational data and time series.
ZEISS is working on delivering highly reliable machines and support processes. GetML allows building new predictive maintenance applications in a fraction of the time.